| |
|
|
| |
EVENT DETAILS |
Overview: Join us for a deep dive into how data science creates impact! We'll kick things off with a walk-through of a predictive analytics project, before exploring how data science can drive impact at a global level.
Talk #1: Predicting Flu Rates with Time Series Analysis
Patrick Masi-Phelps - Data Scientist at Dataiku
Seasonal flu is a serious disease that causes illness, hospitalizations, & deaths every year in the US. As this year's flu season is the worst in nearly a decade, Patrick sought to predict flu rates in each state using data from previous seasons, tweets, & influenza-related online search trends. He will explain the step-by-step data science process & the algorithms he used to reach season-long baseline projections & subsequent 1-4 week short-term projections.
Talk #2: How Data Science Creates Impact at ClassPass
Neal Patel - Strategy & Operations Lead at ClassPass
Integrating data science into strategic decision-making is commonly touted as a panacea for a variety of business challenges. In practice, however, it can be much more difficult to realize substantive business impact. In this presentation, Neal will walk through important lessons he has learned on how to drive impact with data science. He will also highlight a couple ways in which machine learning is applied to common business challenges at ClassPass.
Why it Matters: Much of the discussion around data science focuses on only one end of the spectrum -- presentations of new cutting-edge technologies, or theoretical talks about how to get business insights. Creating impact means linking the two to integrate technical projects into a broader strategic program for decision-making.
What You'll Take Away: You will learn about the end-to-end data science process & how it fits into a broader strategic value chain to create impact.
|
|
|
|
|
|
